Evidence map›Paper›PMID 32929167›Full record

ArticleScientific reports2020

Short-term behavioural impact contrasts with long-term fitness consequences of biologging in a long-lived seabird.

Natasha Gillies, Annette L Fayet, Oliver Padget, Martyna Syposz, Joe Wynn, Sarah Bond, James Evry, Holly Kirk, Akiko Shoji, Ben Dean and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
7.7field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 46 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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  8. Article
  9. Habituation of common vampire bats to biologgers.Royal Society open science · 2021
    Article
  10. Animal tag technology keeps coming of age: an engineering perspective.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Article
  11. An engineering perspective on the development and evolution of implantable cardiac monitors in free-living animals.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Article
  12. Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 5 institutions in 3 countries.

Natasha GilliesDepartment of Zoology, University of Oxford, Oxford, UK. Natasha.gillies@zoo.ox.ac.uk.
Annette L FayetDepartment of Zoology, University of Oxford, Oxford, UK.
Oliver PadgetDepartment of Zoology, University of Oxford, Oxford, UK.
Martyna SyposzDepartment of Zoology, University of Oxford, Oxford, UK.
Joe WynnDepartment of Zoology, University of Oxford, Oxford, UK.
Sarah BondSchool of Ocean Sciences, Bangor University, Bangor, UK.
James EvryDepartment of Zoology, University of Oxford, Oxford, UK.
Holly KirkInterdisciplinary Conservation Science Group, RMIT University, Carlton, Australia.
Akiko ShojiGraduate School of Life and Environmental Sciences, University of Tskuba, Tskuba, Japan.
Ben DeanDepartment of Zoology, University of Oxford, Oxford, UK.
Robin FreemanInstitute of Zoology, Zoological Society of London, London, UK.
Tim GuilfordDepartment of Zoology, University of Oxford, Oxford, UK. tim.guilford@zoo.ox.ac.uk.
University of Oxford · GBBangor University · GBRMIT University · AUUniversity of Tsukuba · JPZoological Society of London · GB

Funding

Biotechnology and Biological Sciences Research Council BB/M011224/1
6 · The paper itself

Abstract

Biologging has emerged as one of the most powerful and widely used technologies in ethology and ecology, providing unprecedented insight into animal behaviour. However, attaching loggers to animals may alter their behaviour, leading to the collection of data that fails to represent natural activity accurately. This is of particular concern in free-ranging animals, where tagged individuals can rarely be monitored directly. One of the most commonly reported measures of impact is breeding success, but this ignores potential short-term alterations to individual behaviour. When collecting ecological or behavioural data, such changes can have important consequences for the inference of results. Here, we take a multifaceted approach to investigate whether tagging leads to short-term behavioural changes, and whether these are later reflected in breeding performance, in a pelagic seabird. We analyse a long-term dataset of tracking data from Manx shearwaters (Puffinus puffinus), comparing the effects of carrying no device, small geolocator (GLS) devices (0.6% body mass), large Global Positioning System (GPS) devices (4.2% body mass) and a combination of the two (4.8% body mass). Despite exhibiting normal breeding success in both the year of tagging and the following year, incubating birds carrying GPS devices altered their foraging behaviour compared to untagged birds. During their foraging trips, GPS-tagged birds doubled their time away from the nest, experienced reduced foraging gains (64% reduction in mass gained per day) and reduced flight time by 14%. These findings demonstrate that the perceived impacts of device deployment depends on the scale over which they are sought: long-term measures, such as breeding success, can obscure finer-scale behavioural change, potentially limiting the validity of using GPS to infer at-sea behaviour when answering behavioural or ecological questions.

Indexed as

Behavior, AnimalAnimalsBirdsOceans and SeasRemote Sensing Technology

Identifiers

PMID32929167
PMCPMC7490266
OpenAlexW3086484288

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.